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Case available

Make selling and delivering the service repeatable without growing headcount in step with revenue.

Companies selling expert services through a long sales cycle: consulting, systems integration, functional outsourcing, professional services.

Two colleagues go through a printed document at a meeting table, with a laptop and a folder of papers beside them.

Key constraints

  • outcomes depend on specific people, and their hours are finite

  • the sales cycle is long, and losses in the middle of it are nearly invisible

  • margin leaks into unbilled preparation: proposals, reports, approvals

Industry economics

  • Profit sits in the gap between the cost of an expert hour and the price of the service, so any unbillable work eats margin directly.

  • Capacity is limited not by demand but by senior time, which goes into preparation and oversight instead of expertise.

  • Typical leaks: proposals assembled by hand, the same client data gathered again for every report, an account risk noticed too late, a renewal remembered a week before it lapses.

  • The metrics that matter: utilisation, average deal size, cycle length, win rate, renewal rate, time to produce a proposal or a report.

Typical processes and pains

  • Symptom

    The quality of sales conversations is known from a sample — a few recordings a month.

    Economic consequence

    The reasons deals are lost stay a hypothesis, and coaching is built on impressions rather than data.

    Do you know at which point in the conversation deals are most often lost?

  • Symptom

    Proposals are assembled by hand from previous documents.

    Economic consequence

    Preparation consumes senior hours, and stale terms from an old project slip into the document.

  • Symptom

    Recurring client reports are compiled by hand from several systems.

    Economic consequence

    The report goes out late or not at all, and the client stops seeing the value of what they pay for.

  • Symptom

    The CRM is filled in after the fact, and partially.

    Economic consequence

    Forecasting runs on gut feel, and account risks surface after the client has already decided.

Priority AI scenarios

Understand what actually happens in sales conversations

  1. 1Transcription
  2. 2review against your criteria
  3. 3qualification
  4. 4CRM update
  5. 5follow-up
Inputs
Call recordings, sales book, funnel criteria.
Output
A conversation score with the supporting excerpt, plus a team-level view.
Where the human stays
The head of sales calibrates the criteria; contested cases are reviewed by hand.
Integrations
Telephony, CRM, calendar
Metrics
Share of calls reviewed, CRM completeness, stage-to-stage conversion.
Limitations
Requires an explicit methodology — there is nothing to review against if the criteria don't exist.

Produce proposals faster and without stale terms

  1. 1Data collection
  2. 2mandatory-field validation
  3. 3assembly from the template
  4. 4approval
  5. 5delivery
Inputs
Deal data from the CRM, price list, templates, prior projects.
Output
A proposal in your own format with current terms.
Where the human stays
A person approves the commercial terms before anything reaches the client.
Integrations
CRM, document storage, e-mail
Metrics
Preparation time, rework caused by errors.
Limitations
If pricing is reasoned from scratch each time and written down nowhere, there is nothing to automate.

Deliver client reports on schedule

  1. 1Source collection
  2. 2completeness check
  3. 3generation
  4. 4approval
  5. 5delivery
  6. 6archive
Inputs
Project data, time tracking, metrics from delivery systems.
Output
A recurring report in the agreed format.
Where the human stays
The account owner adds the findings and commentary.
Integrations
Delivery systems, spreadsheets, e-mail
Metrics
On-time report rate, preparation time.
Limitations
A figure computed differently in different reports needs a single definition first.

Where teams usually start

This is an observation across similar companies, not a universal recommendation: the order follows where your bottleneck actually is.
  1. 1Conversations are the usual starting point: they carry the most data and show fastest whether the hypothesis holds.
  2. 2Proposals or reports come next, depending on which consumes more senior hours in your case.
  3. 3Renewals and account risk come last — they need the CRM to already be populated.
  4. 4This is an observation, not a universal recommendation: the order follows where your margin actually leaks.

Industry systems and data

  • CRM
  • telephony and conferencing
  • time and project tracking
  • document storage
  • e-mail and calendar
  • accounting and billing systems

Risks and constraints

  • Deal data is incomplete: if the CRM has been filled in as a formality, the first weeks go into cleaning it up.

  • Some conversations and documents carry NDA terms — the access model is settled before work begins.

  • Adoption: if the sales team reads conversation review as surveillance rather than support, the output won't be used.

  • An expert service doesn't standardise end to end — what gets automated is preparation and oversight, not the specialist's judgement.

Cases

  • A row of labelled binders on an archive shelf
    Consulting and professional services
    AI Workflow Automation

    Client under NDA

    Answers stopped living in people's heads: search across company documents, with the source attached

    Finding an answer took time, and what turned up could be out of date. Different people answered the client differently, and the surest route was to ask a colleague — that is, to interrupt one more person.

    Time spent finding information
    −40–60%
    Errors caused by out-of-date instructions
    −20–35%
    Read the case

Which solutions apply

Frequently asked questions

We only have a handful of salespeople. Is it worth it?

The case comes from conversation volume and the cost of a mistake, not from headcount. With few but large and long deals, review pays for itself by catching risk in time. If there are very few conversations at all, the honest answer is that the economics won't work — and we will say so at the free fit meeting.

Let's work through one workflow in consulting and professional services

Thirty to forty-five minutes on your specific case. If it isn't a fit, we'll say so on the call.